Modern Methods Theory And Data
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| Author | : Carol S. Aneshensel |
| Publisher | : SAGE |
| Total Pages | : 473 |
| Release | : 2013 |
| Genre | : Reference |
| ISBN | : 1412994357 |
This book presents the elaboration model for the multivariate analysis of observational quantitative data. This model entails the systematic introduction of "third variables" to the analysis of a focal relationship between one independent and one dependent variable to ascertain whether an inference of causality is justified. Two complementary strategies are used: an exclusionary strategy that rules out alternative explanations such as spuriousness and redundancy with competing theories, and an inclusive strategy that connects the focal relationship to a network of other relationships, including the hypothesized causal mechanisms linking the focal independent variable to the focal dependent variable. The primary emphasis is on the translation of theory into a logical analytic strategy and the interpretation of results. The elaboration model is applied with case studies drawn from newly published research that serve as prototypes for aligning theory and the data analytic plan used to test it; these studies are drawn from a wide range of substantive topics in the social sciences, such as emotion management in the workplace, subjective age identification during the transition to adulthood, and the relationship between religious and paranormal beliefs. The second application of the elaboration model is in the form of original data analysis presented in two Analysis Journals that are integrated throughout the text and implement the full elaboration model. Using real data, not contrived examples, the text provides a step-by-step guide through the process of integrating theory with data analysis in order to arrive at meaningful answers to research questions.
| Author | : William G. Jacoby |
| Publisher | : SAGE |
| Total Pages | : 100 |
| Release | : 1991 |
| Genre | : Mathematics |
| ISBN | : 9780803941786 |
For many readers, data theory is probably unfamiliar. Data isn't usually the subject matter of theory in and of itself. However, in this volume, William Jacoby introduces a theory of data idea. It examines how real world observations are transformed into something to be analyzed that is, data. Jacoby explores some of the basic ideas of data theory, and considers their implications for research strategies in the social sciences. "Like others in the series, it is reassuringly slim. It is intended for a general social science readership and is a worthwhile read even for experienced data analysts. since it draws attention not only to often overlooked assumptions, but also to often ignored analysis possibilities." --Telephone Surveys "On the whole, this book contains a lot of useful information." --Journal of Classification
| Author | : Alexey Karapetyants |
| Publisher | : Springer Nature |
| Total Pages | : 474 |
| Release | : 2019-08-28 |
| Genre | : Mathematics |
| ISBN | : 3030267482 |
This proceedings volume gathers selected, peer-reviewed papers from the "Modern Methods, Problems and Applications of Operator Theory and Harmonic Analysis VIII" (OTHA 2018) conference, which was held in Rostov-on-Don, Russia, in April 2018. The book covers a diverse range of topics in advanced mathematics, including harmonic analysis, functional analysis, operator theory, function theory, differential equations and fractional analysis – all fields that have been intensively developed in recent decades. Direct and inverse problems arising in mathematical physics are studied and new methods for solving them are presented. Complex multiparameter objects that require the involvement of operators with variable parameters and functional spaces, with fractional and even variable exponents, make these approaches all the more relevant. Given its scope, the book will especially benefit researchers with an interest in new trends in harmonic analysis and operator theory, though it will also appeal to graduate students seeking new and intriguing topics for further investigation.
| Author | : Garrett Fitzmaurice |
| Publisher | : CRC Press |
| Total Pages | : 633 |
| Release | : 2008-08-11 |
| Genre | : Mathematics |
| ISBN | : 142001157X |
Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between various research threads in the statistical literature. Responding to this void, Longitudinal Data Analysis provides a clear, comprehensive, and unified overview of state-of-the-art theory
| Author | : Piergiorgio Corbetta |
| Publisher | : SAGE |
| Total Pages | : 338 |
| Release | : 2003-04-16 |
| Genre | : Social Science |
| ISBN | : 1446236706 |
`This is an impressively detailed, clearly written book.... It is a book that I would like students to read′ - Clive Seale, Goldsmiths College, London Social Research: Theory, Methods and Techniques presents an understanding of social research practice through appreciation of its foundations and methods. Stretching from the philosophy of science to detailed descriptions of both qualitative and quantitative techniques, it illustrates not only `how′ to do social research, but also `why′ particular techniques are used today. The book is divided into three parts: Part One: Illustrates the two basic paradigms - quantitative and qualitative - of social research, describing their origins in philosophical thought and outlining their current interpretations. Part Two: Devoted to quantitative research, and discusses the relationship between theory and research practice. It also presents a discussion of key quantitative research techniques. Part Three: Examines qualitative research. Topics range from classical qualitative techniques such as participant observation, to more recent developments such as ethnomethodological studies. Overall, the author offers an engaging contribution to the field of social research and this book is a reminder of the solid foundations upon which most social research is conducted today. As a consequence it will be required reading for students throughout the social sciences, and at various levels.
| Author | : Yu-Kang Tu |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 315 |
| Release | : 2012-05-22 |
| Genre | : Medical |
| ISBN | : 9400730241 |
Routine applications of advanced statistical methods on real data have become possible in the last ten years because desktop computers have become much more powerful and cheaper. However, proper understanding of the challenging statistical theory behind those methods remains essential for correct application and interpretation, and rarely seen in the medical literature. Modern Methods for Epidemiology provides a concise introduction to recent development in statistical methodologies for epidemiological and biomedical researchers. Many of these methods have become indispensible tools for researchers working in epidemiology and medicine but are rarely discussed in details by standard textbooks of biostatistics or epidemiology. Contributors of this book are experienced researchers and experts in their respective fields. This textbook provides a solid starting point for those who are new to epidemiology, and for those looking for guidance in more modern statistical approaches to observational epidemiology. Epidemiological and biomedical researchers who wish to overcome the mathematical barrier of applying those methods to their research will find this book an accessible and helpful reference for self-learning and research. This book is also a good source for teaching postgraduate students in medical statistics or epidemiology.
| Author | : Peter Bühlmann |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 568 |
| Release | : 2011-06-08 |
| Genre | : Mathematics |
| ISBN | : 364220192X |
Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed account of recently developed approaches, including the Lasso and versions of it for various models, boosting methods, undirected graphical modeling, and procedures controlling false positive selections. A special characteristic of the book is that it contains comprehensive mathematical theory on high-dimensional statistics combined with methodology, algorithms and illustrations with real data examples. This in-depth approach highlights the methods’ great potential and practical applicability in a variety of settings. As such, it is a valuable resource for researchers, graduate students and experts in statistics, applied mathematics and computer science.
| Author | : Uwe Flick |
| Publisher | : SAGE |
| Total Pages | : 737 |
| Release | : 2017-12-14 |
| Genre | : Reference |
| ISBN | : 1526416069 |
The SAGE Handbook of Qualitative Data Collection is a timely overview of the methodological developments available to social science researchers, covering key themes including: Concepts, Contexts, Basics Verbal Data Digital and Internet Data Triangulation and Mixed Methods Collecting Data in Specific Populations.
| Author | : Igor Chikalov |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 209 |
| Release | : 2012-07-28 |
| Genre | : Technology & Engineering |
| ISBN | : 3642286674 |
In this book, the following three approaches to data analysis are presented: - Test Theory, founded by Sergei V. Yablonskii (1924-1998); the first publications appeared in 1955 and 1958, - Rough Sets, founded by Zdzisław I. Pawlak (1926-2006); the first publications appeared in 1981 and 1982, - Logical Analysis of Data, founded by Peter L. Hammer (1936-2006); the first publications appeared in 1986 and 1988. These three approaches have much in common, but researchers active in one of these areas often have a limited knowledge about the results and methods developed in the other two. On the other hand, each of the approaches shows some originality and we believe that the exchange of knowledge can stimulate further development of each of them. This can lead to new theoretical results and real-life applications and, in particular, new results based on combination of these three data analysis approaches can be expected. - Logical Analysis of Data, founded by Peter L. Hammer (1936-2006); the first publications appeared in 1986 and 1988. These three approaches have much in common, but researchers active in one of these areas often have a limited knowledge about the results and methods developed in the other two. On the other hand, each of the approaches shows some originality and we believe that the exchange of knowledge can stimulate further development of each of them. This can lead to new theoretical results and real-life applications and, in particular, new results based on combination of these three data analysis approaches can be expected. These three approaches have much in common, but researchers active in one of these areas often have a limited knowledge about the results and methods developed in the other two. On the other hand, each of the approaches shows some originality and we believe that the exchange of knowledge can stimulate further development of each of them. This can lead to new theoretical results and real-life applications and, in particular, new results based on combination of these three data analysis approaches can be expected.
| Author | : Jason W. Osborne |
| Publisher | : SAGE Publications |
| Total Pages | : 489 |
| Release | : 2016-03-24 |
| Genre | : Psychology |
| ISBN | : 1506302750 |
In a conversational tone, Regression & Linear Modeling provides conceptual, user-friendly coverage of the generalized linear model (GLM). Readers will become familiar with applications of ordinary least squares (OLS) regression, binary and multinomial logistic regression, ordinal regression, Poisson regression, and loglinear models. Author Jason W. Osborne returns to certain themes throughout the text, such as testing assumptions, examining data quality, and, where appropriate, nonlinear and non-additive effects modeled within different types of linear models.
